搜期刊

PLOS Computational Biology CA PubMed AJ EI SCIE JCR:Q1 中科院2区
发文量 11,282
被引量 420,443
影响因子(2023) 3.448

PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.

  • 主办单位: PUBLIC LIBRARY SCIENCE
  • 出版地区: United States
  • 出版周期: 月刊
  • 别名: 公共科学图书馆·计算生物学;PLoS computational biology.
  • 国际标准连续出版物号: ISSN 1553-734X
  • 创刊时间: 2005年
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2024年08期
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2024年08期

2024年08期